{"id":"ce0abbe3-e098-44ab-8aee-b6c8264772f7","slug":"agibot-genie-envisioner","name":"AgiBot Genie Envisioner","description":"AgiBot's unified world foundation platform for robotic manipulation, launched August 2025. Integrates policy learning, evaluation, and simulation. Genie Envisioner-Sim 2.0 ranked #1 on WorldArena Track 1 leaderboard for world model perception and action response. First action-driven world model open-source platform.","brainType":"world-model","isOpen":true,"maturityStage":"pilot","architecture":"Action-driven world model with policy learning, evaluation, and simulation","reviewStatus":"reviewed","sources":[{"url":"https://arxiv.org/pdf/2508.05635","date":"2025-08-07","title":"Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation","sourceName":"arXiv"},{"url":"https://www.globaltimes.cn/page/202508/1340873.shtml","date":"2025-08","title":"AgiBot debuts world's first unified open-source video-generating platform for robot control: firm","sourceName":"Global Times"},{"url":"https://arxiv.org/abs/2508.05635","date":"2025-08-07","title":"Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation","sourceName":"arXiv"},{"url":"https://github.com/AgibotTech/Genie-Envisioner","date":"2025-08-01","title":"AgibotTech/Genie-Envisioner","sourceName":"GitHub"},{"url":"https://genie-envisioner.github.io/","title":"Genie Envisioner project site","sourceName":"AgiBot Genie Team"}],"keyFacts":[{"label":"Unified world platform components (primary arXiv)","value":"The Genie Envisioner technical report (arXiv:2508.05635) describes GE as a unified world foundation platform for robotic manipulation integrating policy learning, evaluation, and simulation in one video-generative framework. Components named include GE-Base (instruction-conditioned video diffusion), GE-Act (flow-matching action decoder), GE-Sim (action-conditioned neural simulator), and EWMBench. Treat architecture claims as author-stated ([arXiv](https://arxiv.org/pdf/2508.05635))","sourceUrl":"https://arxiv.org/pdf/2508.05635"},{"label":"Open-source launch coverage (primary Global Times / AgiBot)","value":"Global Times coverage of AgiBot's August 2025 launch says Genie Envisioner integrates prediction, policy learning, and neural simulation in a video-generative framework, with GE-Base trained on about 3,000 hours of video-language data spanning more than 1 million real-world robotic manipulation episodes, and that AgiBot planned to open-source code, models, and benchmarks. Treat training-scale figures as company-stated via the report ([Global Times](https://www.globaltimes.cn/page/202508/1340873.shtml))","sourceUrl":"https://www.globaltimes.cn/page/202508/1340873.shtml"},{"label":"Unified world foundation platform (primary arXiv)","value":"The Aug 2025 arXiv abstract for Genie Envisioner (GE) from the AgiBot Genie Team describes a unified world foundation platform for robotic manipulation integrating policy learning, evaluation, and simulation in one video-generative framework, with GE-Base as an instruction-conditioned video diffusion model, GE-Act mapping latents to action trajectories, GE-Sim as an action-conditioned neural simulator, and EWMBench for evaluation. Authors state code, models, and benchmarks will be released publicly ([arXiv](https://arxiv.org/abs/2508.05635))","sourceUrl":"https://arxiv.org/abs/2508.05635"},{"label":"Open-source repository (primary GitHub)","value":"The AgibotTech/Genie-Envisioner GitHub repository hosts the open Genie Envisioner codebase associated with the paper and project site. Treat repository contents as primary engineering release ([GitHub AgibotTech](https://github.com/AgibotTech/Genie-Envisioner))","sourceUrl":"https://github.com/AgibotTech/Genie-Envisioner"},{"label":"Unified world foundation platform for manipulation (project site)","value":"AgiBot's Genie Envisioner project materials describe a unified world foundation platform for robotic manipulation that integrates policy learning, simulation, and evaluation in a video-generative framework ([Genie Envisioner](https://genie-envisioner.github.io/)).","sourceUrl":"https://genie-envisioner.github.io/"},{"label":"GE-Base / GE-Act / GE-Sim technical report (arXiv Aug 2025)","value":"The August 2025 technical report frames Genie Envisioner components including GE-Base video diffusion, GE-Act action policy inference, and GE-Sim closed-loop simulation, with EWMBench evaluation. Treat benchmark scores as author-stated ([arXiv](https://arxiv.org/pdf/2508.05635)).","sourceUrl":"https://arxiv.org/pdf/2508.05635"}],"aliases":[],"collisionRisk":"low","reviewNote":null,"builtOnBrainId":null,"createdAt":"2026-08-09T14:40:27.640Z","updatedAt":"2026-09-29T22:21:57.860Z","jsonLd":{"@context":"https://schema.org","@type":"SoftwareApplication","@id":"https://registry.deploy.report/brains/agibot-genie-envisioner","url":"https://registry.deploy.report/brains/agibot-genie-envisioner","name":"AgiBot Genie Envisioner","description":"AgiBot's unified world foundation platform for robotic manipulation, launched August 2025. Integrates policy learning, evaluation, and simulation. Genie Envisioner-Sim 2.0 ranked #1 on WorldArena Track 1 leaderboard for world model perception and action response. First action-driven world model open-source platform.","identifier":"ce0abbe3-e098-44ab-8aee-b6c8264772f7","applicationCategory":"world-model","publisher":{"@id":"https://deploy.report/#organization"}},"framework_metadata":{"framework_schema_version":"0.1.0","verification_status":"verified","maturity_stage":"pilot","lifecycle_state":null,"architectural_position":{"cohort":null,"sub_cohorts":[]},"within_cohort_verified_vs_claimed_pair":null,"cap_flags":[],"verification_depth":{"sources_count":5,"primary_source_types":["code-repository","preprint"]}}}